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Faculty of Engineering

Research areas:

1. Creation of machine learning algorithms and digital twins for production
The following research areas have been identified:
- Artificial intelligence systems;
- Financial activities of banking institutions;
- Information and communication technologies;
- Distributed and concurrent computing processes;
- Modeling and evaluation of human speech sounds;
- End-to-end material flows, service flows, and associated financial and information flows;
- Rational environmental management processes.
Research is being conducted in the following research areas:
- Mobile information systems;
- New financial technologies;
- Robotics;
- Modeling of intelligent systems;
- Website development.

 


 

2. Landscape planning projects for landscape architecture projects

Landscape planning is the comprehensive creation of a comfortable, aesthetically pleasing, and functional environment (parks, gardens, urban spaces), including pre-design analysis of the site and the development of design documentation. The process is aimed at harmoniously combining topography, water features, green spaces, and structures. The key goal is to maximize the preservation of the natural landscape, enhance it, and create sustainable ecosystems.
 
 

3. Aquaculture Production Processes

Scientific research focuses on the development and optimization of high-intensity agrobiotech systems for cultivating aquatic organisms in recirculating aquaculture systems (RAS). Emphasis is placed on improving biological standards for aquaculture systems, creating resource-saving engineering solutions for treating recirculating water, designing new equipment for cultivating and reproducing valuable fish species, and developing modern feed mills for fish farming.
Concurrently, work is underway in the field of digital transformation of the fisheries industry, aimed at integrating intelligent monitoring systems and automated bioprocess control. Methods are being developed for the use of underwater drones and diagnostic systems for open fish farms using IoT technologies.

 

 

Significant scientific developments:

1. Reproduction of African Sharptooth Catfish

Incubation systems for the reproduction of African Shark Catfish (Clarias gariepinus) have been developed and patented, increasing larval yield by 12% and survival rates by up to 30%. A recirculating aquaculture system for the cultivation of valuable fish species with a process intensification system equipped with a reagent-free pH-corrector, allowing for the pH of the growing medium to be monitored and controlled without the use of reagents.
 
 

2. Recycled Water Treatment

A method for starting and operating a biological treatment system for recycled water in industrial aquaculture has been developed, which reduces the start-up time of the biofilter.